Optimal strategies
Optimal strategies in repeated games with incomplete information: the dependent case
... Precisely, any probability π can be decomposed as a pair (p, Q) where p is a probability over K and Q is a transition probability from K to L. Then, one may consider v θ as a function of (p, Q) and this function is ...
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Optimal Strategies in Turn-Based Stochastic Tail Games
... of optimal strategies for both players in nite turn-based sto
hasti tail games also follows from the proofs, as well as the fa
t that optimal strategies are no more omplex than almost-sure ...
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Algorithms for uniform optimal strategies in two-player zero-sum stochastic games with perfect information
... Blackwell optimal policy f ∗ for player 1 in the MDP Γ 1 ...discount optimal strategies for both players in the game Γ τ X without ...uniform optimal strategies, then the algorithm ...
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Optimal Strategies in Zero-Sum Repeated Games with Incomplete Information: The Dependent Case
... Optimal strategies in repeated games with incomplete information: the dependent case Fabien Gensbittel ∗ , Miquel Oliu-Barton † ...provided optimal strategies for both players in finitely ...
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Optimal Strategies in Perfect-Information Stochastic Games with Tail Winning Conditions
... ∗ (v). According to Martin’s theorem [Mar98] these values are equal, and this common value is called the value of vertex v and denoted val(v) 1.3. Optimal and ǫ-optimal strategies. By definition of ...
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Pure and Stationary Optimal Strategies in Perfect-Information Stochastic Games with Global Preferences
... both optimal in G and deterministic stationary. Therefore Max has an optimal deterministic stationary strategy in ...an optimal deterministic stationary for player Min in G it suffices to choose as a ...
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Blackwell Optimal Strategies in Priority Mean-Payoff Games
... (optimal strategies and games values) under small ...are optimal strategies stable under small perturbations? Usually we tacitly assume that this is the case but it would be better to be ...
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Near-optimal strategies for nonlinear and uncertain networked control systems
... Near-Optimal Strategies for Nonlinear and Uncertain Networked Control Systems Lucian Bus¸oniu Romain Postoyan Jamal Daafouz Abstract—We consider problems where a controller commu- nicates with a general ...
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Synthesis of Optimal Strategies Using HyTech
... synthesize optimal strategies for a sub-class of priced timed game ...the optimal cost within k ...the optimal cost within k steps only yields an exponential number (in k and the size of the ...
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Optimal Strategies in Priced Timed Game Automata
... on optimal cost computation that extend the ones in [14, 1] we also tackle the problem of strategy ...the strategies (memoryless, cost-dependence) needed to achieve the optimal cost which is a ...
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Optimal strategies for biomass productivity maximization in a photobioreactor using natural light
... erally, optimal control of fed-batch processes taking kinetics uncertainties into account (Smets, Claes, November, Bastin & Van Impe ...the optimal setpoint (Masci, Bernard & Grognard 2010) or on an ...
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Optimal Strategies for Graph-Structured Bandits
... end for IMED-GS 2 strategy At time step t> 1 the choice of user b t is no longer strategy-dependent but is imposed by the sequence of users (b t ) t>1 which is assumed to be deterministic in the uncontrolled ...
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Optimal individual strategies for influenza vaccines with imperfect efficacy and durability of protection
... the optimal policy with respect to the imperfections of the vaccine, as well as the best vaccination ...are optimal, such as, for example, an increase of the fraction of vaccinated individuals when the ...
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Clinical data based optimal STI strategies for HIV: a reinforcement learning approach
... by RL to compute new STI strategies. The paper is structured as follows. Section 2 formal- izes the problem of learning optimal strategies from a set of trajectories and introduces the algorithms ...
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Clinical data based optimal STI strategies for HIV: a reinforcement learning approach
... learning optimal strategies from a set of trajectories and introduces the algorithms used in our simula- ...determine optimal STI strategies from clinical ...
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Optimal release strategies for mosquito population replacement
... discuss optimal strategies of mosquito releasing and also the robustness of the properties of the solutions with respect to the modeling choices (in particular the choice of the functional we ...
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Optimal investment strategies for competing camps in a social network: a broad framework
... While the linear influence function is consistent with the well-established Friedkin-Johnsen model, the influence of a camp on a node might not increase linearly with the corre- sponding investment. In fact, several ...
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Optimal control strategies for the sterile mosquitoes technique
... the optimal release strategies in order to maximize the efficiency of this ...way optimal strategies, which allows us to tackle numerically the underlying optimization problem in a very simple ...
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Optimal individual strategies for influenza vaccines with imperfect efficacy and durability of protection
... the optimal policy with respect to the imperfections of the vaccine, as well as the best vaccination ...are optimal, such as, for example, an increase of the fraction of vaccinated individuals when the ...
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Dynamical allocation of cellular resources as an optimal control problem: Novel insights into microbial growth strategies
... control strategies on the molecular level enabling cells to achieve optimal resource allocation in a robust ...control strategies exploit infor- mation on the physiological state of the cell to ...
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